Senior Data Scientist

Responsibilities:

• Deliver end-to-end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering, building, and validating predictive models, explaining model results and insights.
• Use AI, ML, DL techniques such as regression, classification, clustering, tree-based algorithms, support vector machines, neural networks, recommender systems, and attribution modeling to address business problems.
• Improve upon existing methodologies by developing new data sources/features, testing model enhancements, and fine-tuning model parameters.
• Provide requirements to develop analytical capabilities, platforms, and pipelines.
• Present insights and recommendations to audiences of varying levels of technical sophistication
• Automate processes to ensure scalability of solutions by collaborating with cross-functional teams.
• Coach junior data scientists and support delivering projects.

Requirements:

• Master's or Bachelor's Degree in a quantitative discipline (Statistics, Economics, Mathematics, Data Science, Business Analytics).
• 5-7 years of experience as a Data Scientist deploying Data Science projects.
• 5+ years of coding skills in Python, PySpark, and SQL.
• Deep understanding and hands-on experience with ML and DL Algorithms.
• Good understanding of LLM, Gen AI, Databricks and Cloud Systems (AWS or Azure).
• Experience of working with large data sets and developing scalable solutions.
• Knowledge of Automotive Business and Digital Marketing Campaigns are preferred.
• Ability to work independently and deal with ambiguity.
• Strong analytical and problem-solving skills.
• Excellent presentation and communication skills.
• Strong written and verbal communication skills.
• Highly motivated and collaborative team player with strong interpersonal skills.

Skills

AWS, Azure, DL, Databricks, ML, PySpark, Python, SQL, cloud, deep learning, machine learning